Triage method, device and equipment based on medical knowledge graph and a storage medium

A knowledge graph and doctor's technology, which is applied in medical automated diagnosis, medical care resources or facilities, computer-aided medical procedures, etc., can solve the problem of lengthy interaction between triage products and users, poor guidance effect, and poor colloquial symptom recognition effect and other problems, to achieve the effect of good user experience, less trouble, and obvious advantages

Pending Publication Date: 2020-10-16
PING AN TECH (SHENZHEN) CO LTD
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[0004] The main purpose of this application is to provide a triage method, device, equipment, and storage medium based on medical knowledge graphs, aiming to

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  • Triage method, device and equipment based on medical knowledge graph and a storage medium
  • Triage method, device and equipment based on medical knowledge graph and a storage medium
  • Triage method, device and equipment based on medical knowledge graph and a storage medium

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] refer to figure 1 , the embodiment of the present application provides a triage method based on medical knowledge map, including steps:

[0050] S1. Receive the symptom description sentence input by the user;

[0051] S2, use pre-trained BERT model to carry out character encoding to described sentence, generate word vector, utilize BILSTM model and CRF model to decode described word vector, obtain disease entity;

[0052] S3. Using an entity linking algorithm to link the disease entity to a standard disease entity in the knowledge graph;

[0053] S4. Vectorize th...

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Abstract

The invention discloses a triage method, device and equipment based on a medical knowledge graph and a storage medium. The method comprises the steps of receiving disease description statements inputby a user; performing character encoding on the statement by using a pre-trained BERT model to generate a word vector, and decoding the word vector by using a BILSTM model and a CRF model to obtain adisease entity; linking the disease entities to standard disease entities in a knowledge graph by using an entity linking algorithm; vectorizing the standard symptom entity text, inputting the vectorized standard symptom entity text into a pre-trained XGBoost classification model based on a medical knowledge graph, and taking a model output result as a recommended doctor-seeing department; and returning the recommended doctor-seeing department to the user. According to the method, the main complaint of the user is directly regarded as the serialized text, the XGBoost classification model is adopted for classification, the classification result is the recommended doctor-seeing department, the trouble brought by multiple rounds of input of the user is reduced, the use experience is good, theadvantages in the aspect of spoken language recognition are obvious, and the triage result is accurate.

Description

technical field [0001] The present application relates to the field of intelligent decision-making, in particular to a triage method, device, equipment and storage medium based on medical knowledge graphs. Background technique [0002] The traditional way of triage in the hospital is to set up a triage table. Patients who do not understand the classification of the hospital's departments or their symptoms can go to the triage table to consult the staff. However, when patients consult with the staff, on the one hand, patients usually can only express their condition in colloquial terms and cannot use medical terminology; It is difficult to guarantee the accuracy of the recommended departments, and the efficiency of this method is low, and the labor cost is relatively high. [0003] The inventor found that there are already some intelligent triage products on the market, such as diagnostic guidance robots and triage application programs, etc., but in the actual use experience...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H40/20G06F16/36G06F16/35G06F40/295
CPCG16H50/20G16H40/20G06F16/367G06F16/35G06F40/295
Inventor 林桂黎旭东
Owner PING AN TECH (SHENZHEN) CO LTD
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